Learning Analytics Methods and Tutorials: A Practical Guide Using R (Hardcover) (ISBN-13: 9783031544637)

Mohammed Saqr is an Associate Professor of learning analytics and Academy of Finland Research Council researcher. Mohammed Saqr leads the Unit of learning analytics at the University of Eastern Finland (UEF), School of Computing which was, according to Scopus and Web of Science, Europe's most productive learning analytics lab during the last five years (2019-2023). Mohammed Saqr has a PhD in learning analytics from Stockholm University, Sweden. Before joining UEF in Finland, Mohammed had a postdoc at Universit? Paris Cit?, France, and obtained the title of Docent in learning analytics from the University of Oulu, Finland. Mohammed Saqr published more than 150 peer-reviewed interdisciplinary, methodological, and empirical studies about learning analytics, artificial intelligence, big data, network science, science of science, and medicine. Mohammed has several awards, e.g., the PhD was awarded the best thesis, he also got several international research awards (e.g., best papers), and obtained the University of Michigan Office of Academic Innovation fellowship. In 2023, the Society of Learning Analytics Research (SOLAR) granted Mohammed Europe's Emerging Scholar Award for "noteworthy research leading to significant knowledge and understanding of learning analytics and the impact of research on learning analytics application, adoption, and professional development in Europe". Mohammed got funding from prestigious institutions: Academy of Finland (as PI) for idiographic learning analytics and Swedish Research Council (as Co-PI) as well as several other grants. Mohammed is on the editorial board of several academic journals e.g., Transactions of Learning Technologies, British Journal of Education Technologies, and Plos One. Mohammed organized and contributed to several international conferences, and presented several invited keynotes and talks. Mohammed's current collaboration network includes more than a hundred researchers from around the world including Finland, Spain, Sweden, Norway, Japan, Ireland, Germany, Serbia, Luxembourg, Bulgaria, Australia, France, Turkiye, Egypt, UK, USA, and the Netherlands.

L?pez-Pernas Sonsoles is a Senior Researcher at University of Eastern Finland (UEF) since 2022 and holds the title of Docent (adjunct professor) in educational data mining. She obtained her Masters and PhD in Engineering from Universidad Polit?cnica de Madrid (Spain). During her career, she has developed several open-source software projects related to educational technology and big data analysis. She is skilled in quantitative methods that include learning analytics, machine learning, process and sequence mining, network analysis, complex event processing, and data visualization, which are proven by more than 100 empirical publications in the field of learning analytics, education technology, and big data as well as her impressive workplace achievements. Sonsoles has obtained several prestigious awards and recognitions that include a research award from theRoyal Academy of Doctors of Spain (RADE), the extraordinary PhD thesis award from Universidad Polit?cnica de Madrid, and two open source project awards in the university open source software contest (CUSL), as well as best paper awards in learning analytics and game-based learning. She has contributed to the organization of several scientific conferences and workshops (e.g., Finnish Learning Analytics and Artificial Intelligence in Education conference and Network Analysis workshop at LAK), and has been part of the program committee of LAK, AIED, ICCE, and Koli Calling. Sonsoles sits on the editorial board of IEEE Transactions on Education, and PloS One. Her collaboration network extends over the five continents.

Together, Mohammed and Sonsoles have extensively published in top journals in the field such as Computers & Education, International Journal of Computer Supported Collaborative Learning, Computers in Human Behavior, Journal of Learning Analytics and Educational Research Review as well as top conferences e.g., LAK, ECTEL, ICALT and TEEM.